PhD: AI‑Driven EMC Modeling for Power Electronics

Silicon Austria Labs (SAL); Graz; On-site; EUR 51,000 - 52,000; Full time

Benefits offered by this job

Meal & transport subsidies

Family-friendly policies

Career development training

Job summary

Silicon Austria Labs (SAL) seeks a motivated PhD candidate to work on AI-assisted modelling and prediction of radiated electromagnetic emissions from power electronics converters. The project will be co-supervised by SAL and SDU, with the workplace in Graz, Austria.

The research combines power electronics, EMC, radiated emission measurements, electromagnetic simulation, and AI-based modelling to identify radiation mechanisms and support EMC-aware converter design.

Qualifications

• Master's degree or equivalent in a relevant field.
• Interest in AI-based modelling and EMC-aware design.

Responsibilities

• Develop AI/ML and physics-informed modelling methods for predicting radiated emissions.
• Work with power electronic converter models, electromagnetic simulations and measurement data.
• Analyse dominant radiation mechanisms in converter systems.
• Build and validate surrogate models for fast radiated emission estimation.
• Publish results.

Skills

Power electronics

EMC/EMI knowledge

Python

MATLAB

Interdisciplinary research

Education

Master's degree in Electrical Engineering, Power Electronics, Electromagnetics, Applied Physics or Computer Science

Tools

Python

MATLAB

Electromagnetic simulation tools

Job description

Silicon Austria Labs (SAL) seeks a motivated PhD candidate to work on AI-assisted modelling and prediction of radiated electromagnetic emissions from power electronics converters. The project will be co-supervised by SAL and SDU, with the workplace in Graz, Austria.

The research combines power electronics, EMC, radiated emission measurements, electromagnetic simulation, and AI-based modelling to identify radiation mechanisms and support EMC-aware converter design.